|
Title: Modeling Vacant Yellow Taxi Customer Search Behavior in a Holiday Week in New York City
Accession Number: 01593601
Record Type: Component
Abstract: The locations of interest for vacant taxi drivers in New York City are important to model the taxi customer search behavior. It can also help understand the spatial distribution of supply (drop-off). Based on previous study on taxi trip generation for both pickup trips and drop-off trips in NYC, the taxi supply representing the experience of taxi driver on popular spots, is also driving the taxi demand in different census tract in NYC. The authors are also interested to know how efficiently does a taxi driver locate a customer while it is empty. A one-week taxi sub-dataset extracted from a 10-month GPS taxi data is utilized in this study to identify those places of interest and the efficiency of taxi driver in search for a customer. Two perspectives (scenarios) are considered in this study to investigate the efficiency of taxi drivers while it is empty: the systematic perspective and the taxi driver’s perspective. Linear programming method (Scenario 1) is used to analyze the best combinations of demand and supply at each census tract by minimizing the total empty distance traveled for all taxis (at a system level) in NYC at this one-week period. Scenario 2 is used to construct an O-D matrix by maximizing the revenue of each taxi driver (at an individual level). It was found that both Scenarios have less distance travelled, the observation indicating that the taxi system can be more efficient if centralized taxi information system is available or the taxi drivers are well-informed.
Supplemental Notes: This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.
Monograph Title: Monograph Accession #: 01584066
Report/Paper Numbers: 16-6850
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Yang, CiGonzales, Eric JPagination: 17p
Publication Date: 2016
Conference:
Transportation Research Board 95th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Uncontrolled Terms: Geographic Terms: Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management
Source Data: Transportation Research Board Annual Meeting 2016 Paper #16-6850
Files: TRIS, TRB, ATRI
Created Date: Jan 12 2016 6:58PM
|